SkimCast vs Shorter.

Skimcast functions as a universal Spark Notes. Having trouble reading everything? Do you get bored easily? Between 1 and 99 percent of the length of the original document is produced in Skimcast summaries. How long is up to you. Additionally, Skimcast automatically identifies the major themes in each document. Simply select a theme to make it stand out everywhere it occurs in the document. To generate a summary of whatever is on your browser screen, simply click the extension button. To read online course materials or other documents that are protected behind subscriber barriers, you'll need this addon.

What is Shorter.? Using the Chrome plugin Shorter, you can choose any piece of text from a website and get a condensed version of it back. Whoa, what do you mean by shortened? Shorter analyzes the text you've chosen, extracts the key information, and presents it to you in a way that provides you a general understanding of the selection without requiring you to read it all. Why should I use this? The menu will appear when you right-click on the desired text (often more than 2 lines). View the summary by selecting Make It Shorter. The current Beta release includes page wide summary functionality as well, so you don't need to pick any pages, copy the URL, click the extension logo, and then paste it into the text field. To enjoy your summary, click Go. Does my summary's size have any control? Indeed, you can! Choose Normal or Small summary by clicking the settings menu on the extension. Small summaries can cut the text by up to 60% while a normal summary can only cut the material by up to 40%. Lemmatize the text instead if you want to, but the trade-off is that it will take a little longer to summarize the content. Lemmatization is not used and the default summary size is Normal. What's going on here? Shorter ranks each sentence in the text in accordance with how relevant it is to the selection by using the text you've chosen as its starting point. Each phrase is scored according to the terms it contains and how important they are in connection to the selection using the TF-IDF concept. To guarantee that context and scores are taken into account while summarizing, a two-pass method is used, first identifying the Top-N sentences in the first pass, then identifying the highest scoring sentence in each of the subsequent N-th brackets.